Grammatical Inference: Algorithms and Applications: 6th International Colloquium: Icgi 2002, Amsterdam, the Netherlands, September 23-25, 2002. Procee

ISBN-13: 9783540442394 / Angielski / Miękka / 2002 / 318 str.

P. Adriaans; Pieter Adriaans; Henning Fernau

Opis

This book constitutes the refereed proceedings of the 6th International Colloquium on Grammatical Inference, ICGI 2002, held in Amsterdam, The Netherlands in September 2002.
The 28 revised full papers presented together with 7 software descriptions were carefully reviewed and selected from 48 submissions. The papers address issues in machine learning, automata, theoretical computer science, computational linguistics, and grammar systems as well as applications in fields like natural language processing, pattern recognition, computational biology, information retrieval, text processing, and data compression.

Spis treści

Contributions.- Inference of Sequential Association Rules Guided by Context-Free Grammars.- PCFG Learning by Nonterminal Partition Search.- Inferring Subclasses of Regular Languages Faster Using RPNI and Forbidden Configurations.- Beyond EDSM.- Consistent Identification in the Limit of Rigid Grammars from Strings Is NP-hard.- Some Classes of Regular Languages Identifiable in the Limit from Positive Data.- Learning Probabilistic Residual Finite State Automata.- Fragmentation: Enhancing Identifiability.- On Limit Points for Some Variants of Rigid Lambek Grammars.- Generalized Stochastic Tree Automata for Multi-relational Data Mining.- On Sufficient Conditions to Identify in the Limit Classes of Grammars from Polynomial Time and Data.- Stochastic Grammatical Inference with Multinomial Tests.- Learning Languages with Help.- Incremental Learning of Context Free Grammars.- Estimating Grammar Parameters Using Bounded Memory.- Stochastic k-testable Tree Languages and Applications.- Fast Learning from Strings of 2-Letter Rigid Grammars.- Learning Locally Testable Even Linear Languages from Positive Data.- Inferring Attribute Grammars with Structured Data for Natural Language Processing.- A PAC Learnability of Simple Deterministic Languages.- On the Learnability of Hidden Markov Models.- Shallow Parsing Using Probabilistic Grammatical Inference.- Learning of Regular Bi-? Languages.- Software Descriptions.- The EMILE 4.1 Grammar Induction Toolbox.- Software for Analysing Recurrent Neural Nets That Learn to Predict Non-regular Languages.- A Framework for Inductive Learning of Typed-Unification Grammars.- A Tool for Language Learning Based on Categorial Grammars and Semantic Information.- ‘NAIL’: Artificial Intelligence Software for Learning Natural Language.- Lyrebird™: Developing Spoken Dialog Systems Using Examples.- Implementing Alignment-Based Learning.